Results 51 to 60 of about 22,351,191 (312)

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari   +5 more
wiley   +1 more source

Parameter estimation of G0 distribution based on improved recursive expectation–maximisation method for clutter modelling

open access: yesThe Journal of Engineering, 2019
Modelling and simulation of clutter are important in radar signal processing, the G0 distribution is generally adopted to simulate the ground clutter in radar echoes. In order to improve the modelling accuracy of clutter modelling, the actual data should
Jiaxin Lu   +3 more
doaj   +1 more source

An Efficient Spectral Feature Extraction Framework for Hyperspectral Images

open access: yesRemote Sensing, 2020
Extracting diverse spectral features from hyperspectral images has become a hot topic in recent years. However, these models are time consuming for training and test and suffer from a poor discriminative ability, resulting in low classification accuracy.
Zhen Li, Baojun Zhao, Wenzheng Wang
doaj   +1 more source

Real Time Languages for Process Control [PDF]

open access: yesThe Computer Journal, 1972
The Central Instrument Research Laboratory of Imperial Chemical Industries installed a Ferranti Argus 400 in 1966 for the control of multiple laboratory experiments. An operating system was devised and implemented by Cobb, Magee, and Williams (1967); the main purpose of this system was to provide each of several users with a pseudo multi-processor ...
openaire   +2 more sources

Real-Time View-Based Pose Recognition and Interpolation for Tracking Initialization [PDF]

open access: yes, 2007
In this paper we propose a new approach to real-time view-based pose recognition and interpolation. Pose recognition is particularly useful for identifying camera views in databases, video sequences, video streams, and live recordings.
Hedborg, Johan   +3 more
core   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz   +6 more
wiley   +1 more source

An Efficient and Robust Framework for Hyperspectral Anomaly Detection

open access: yesRemote Sensing, 2021
Hyperspectral images contain distinguishing spectral information and show great potential in the anomaly detection (AD) task which aims to extract discrepant targets from the background.
Linbo Tang   +5 more
doaj   +1 more source

Real-time functional programming systems

open access: yes, 1990
Real-time processing systems are typically characterised by high processing rates, high reliability, and high input/output rates. Functional programming, derived from the lambda calculus, is a formal basis for computation which facilitates the design of ...
Winter, S., Neale, D.F., Wilson, D.R.
core   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess   +5 more
wiley   +1 more source

Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain

open access: yesRemote Sensing, 2022
Currently, under supervised learning, a model pre-trained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dominated knowledge transfer learning.
Tong Zhang   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy